Data Engineering Lead
At a glance
Senior Data Engineering role at Hdks. Toronto · full-time · CA$108,700–CA$158,700 base.
dataroles summary, based on the employer's posting.
What you'll do
- Set technical direction for data platforms, pipelines, integrations and analytics that meet enterprise architecture standards
- Roll out CI/CD, automated testing, TDD and engineering practices across multiple data teams
- Turn business and data strategies into technical roadmaps, priorities and delivery plans with stakeholders
- Modernize data systems, including adding AI, machine learning and advanced analytics capabilities
- Resolve complex platform, pipeline and data quality issues, while mentoring teams on engineering practices
What you bring
- A university degree in computer science, information systems, cybersecurity or a related discipline
- Seven to ten years in data engineering, data or application development, or similar work in enterprise settings
- At least four years in a technical leadership role
- Experience with machine-learning data systems, cloud data platforms, CI/CD and current data engineering frameworks
Who this fits
This senior technical leadership role suits someone ready to guide several data engineering teams while staying close to architecture and complex delivery. The position is based in Toronto, Canada.
From the employer
The Opportunity
The Data Engineering Lead is responsible for setting and driving the technological vision, architecture, and development practices for data solutions across Technology Solutions. This role provides hands-on technical leadership and strategic oversight across multiple squads, enabling the design and execution of scalable, reusable, and high-quality data products and pipelines. The Lead is a senior technical authority who advances engineering excellence by strengthening CI/CD, automation, and modern data engineering standards. They collaborate with engineering managers, architects, and business stakeholders to translate business needs into resource, roadmap-aligned data delivery and ensure strong alignment between data needs and enterprise goals. This role requires thought leadership, innovation, and the ability to anticipate and solve complex technical challenges.
What to Expect
- Provide technical leadership for designing scalable, high-quality data platforms, pipelines, integrations, and analytics solutions aligned with enterprise architecture standards.
- Lead the adoption of CI/CD, test automation, TDD, and engineering best practices across multiple data engineering teams.
- Ensure compliance with enterprise security, governance, architectural frameworks, and data management standards.
- Drive modernization initiatives by evaluating emerging technologies and implementing scalable, reusable, and resilient data solutions.
- Integrate AI, machine learning, and advanced analytics capabilities into data engineering processes and platforms.
- Translate business and data strategy into actionable technical roadmaps, priorities, and execution plans.
- Collaborate with data leaders, architects, project managers, and business stakeholders to deliver enterprise-wide data initiatives.
- Act as the senior technical escalation point for complex data, platform, pipeline, and data quality challenges.
- Mentor and influence engineering teams, promoting technical excellence, collaboration, and continuous skill development.
- Bring deep expertise in GCP, Databricks, Python, SQL, cloud and big data technologies, data architecture, ETL/ELT, data modeling, Agile delivery, and modern data engineering practices.
What you Bring
- University degree in Computer Science, Information Systems, Cyber Security, or related discipline.
- 7-10 years of experience in data engineering, data/application development, or a similar field within enterprise environments.
- 4+ years of technical leadership experience.
- Experience with ML-enabled data systems, cloud data platforms, CI/CD, and modern data engineering frameworks.
- Insurance industry experience is an asset.
- Certifications in cloud technologies, data engineering, Agile, or DevOps are considered strong assets.
Salary Range: $108,700-$158,700
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